End of training
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README.md
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: distilbert-finetuning
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results: []
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@@ -15,7 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: distilbert-finetuning
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results: []
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8043
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- Accuracy: 0.7714
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- F1: 0.7862
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.4772 | 1.0 | 53 | 0.8100 | 0.7286 | 0.7326 |
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| 0.3519 | 2.0 | 106 | 0.8094 | 0.7143 | 0.7217 |
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| 0.2195 | 3.0 | 159 | 0.8540 | 0.7357 | 0.7442 |
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| 0.098 | 4.0 | 212 | 0.8043 | 0.7714 | 0.7862 |
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| 0.0839 | 5.0 | 265 | 0.9880 | 0.7786 | 0.7945 |
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### Framework versions
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